How Data Works @ eBlu
We get a variety of different types of data from a variety of sources.
Goal
The goal, mitigate complex access and various flavors of repetitive data tasks.
Examples:
- Ingestion
- Transformation
- Cleansing
- Prepping
- Staging
- Data Version Control
All of these items can be automated and more so replicated and tested.